\name{pmaxT}
\alias{pmaxT}
\title{Ajusted p-values for step down multiple testing}
\description{
Function which implements a parallel version of the multtest "mt.maxT" function. 
It computes the adjusted p-values for step-down multiple testing procedures.
}
\usage{
pmaxT(X, classlabel, test = "t", side = "abs", fixed.seed.sampling = "y", B = 10000, 
      na = .naNUM, nonpara = "n") 

}
\arguments{
    \item{X}{double precision 2D array of data}
    \item{classlabel}{class column lables of the input data array}
    \item{test}{one of the following statistical test: t. t.equalvar, Wilcoxon, F, Pair-T, Block-F}
    \item{side}{Type of rejection region, either abs, upper or lower}
    \item{fixed.seed.sampling}{whether the permutations are calculated on the fly or save to memory}
    \item{B}{Number or permutations}
    \item{na}{missing value tag}
    \item{nonpara}{whether non-parametric test statistics or not}
}
\seealso{
    \code{\link[multtest]{mt.maxT}}
}
\keyword{utilities}
\keyword{interface}